Not all heroes wear capes — but plenty of them use toilet paper.
Want to challenge yourself at a purpose-led scale up AND make a difference in the world? Come join the revolution!
Funny name, serious business.
We make eco-friendly products and donate 50% of our profits to provide clean water and help build toilets for the billions of people who lack proper access. So far, we've contributed over $18 million AUD (roughly $12.5 million USD) to fund sanitation projects around the globe. Basically, we're really positive at doing good.
With hubs in Australia, the Philippines, China, the US, UK and Europe, our amazing team of 200+ work to make the biggest possible impact for people and the planet. Over the next couple of years, we're hoping to increase our annual donation tenfold to get us closer to our dream of everyone in the world having access to clean water and sanitation services.
A Bit About The Role
We are looking for a Finance BI and Data Engineer for a 12-month contract to act as the technical engine behind the transformation of our Finance function from standard data outputs to true value creation. Sitting within our Number Scrunchers / FP&A; team and reporting to the Head of FP&A;, you will design, build, and embed a real-time, self-service reporting layer that becomes our Single Source of Truth for 3-way financials.
Your mission is to systematically eliminate capability debt and manual reconciliation. By building an advanced profitability attribution engine and deploying applied ML/AI techniques for automated forecasting, you will directly accelerate our leadership team's ability to make high-impact, confident capital allocation decisions.
Responsibilities
Engineering a Financial Single Source of Truth: Designing intuitive data models and semantic layers in Snowflake to build a real-time, self-service 3-way reporting layer for our Board and Executive team.
Building a Profitability Engine: Partnering with our Commercial and Supply Chain squads to build and systematize a P&L; attribution model mapped to channels,



markets, and products.
Prototyping Predictive AI Tools: Collaborating with FP&A; to deploy applied ML/AI techniques for automated cash and P&L; forecasting, scenario modeling, and anomaly detection with robust human-in-the-loop controls.
Evaluating Core Tooling: Leading the technical evaluation and reconfiguration/replacement assessment of our NetSuite Planning and Budgeting module and broader BI tool ecosystem.
Driving Data Governance: Establishing auditable reconciliation frameworks between your new reporting layer and source systems to maintain total data trust, while codifying sustainable documentation for a seamless hand-off.
Qualifications
Strong platform and data infrastructure experience, with a proven track record of scoping, tracking, and executing end-to-end data pipelines, tool implementations, or systems-level transformation roadmaps.
Systems thinker: ability to see how platforms, integrations, data flows, and manual team workflows connect into a singular ecosystem and spot bottlenecks.
Technical & architecture savvy: highly proficient in data architecture (ideally with Snowflake or similar data lakes), data modeling, semantic layers, and custom integration layers with ERPs or financial planning tools such as NetSuite.
Practically fluent in AI: demonstrated history of utilizing AI/ML tools or predictive modeling to turn unstructured or fragmented data into automated, reliable business solutions.
Collaborative translator: effectively bridges finance requirements, data engineering standards, and non-technical business leaders, comfortable challenging legacy manual habits and ad-hoc reporting loops.
Benefits
Competitive, market-informed salaries; meaningful support towards healthcare for our team around the world; generous paid leave; tailored learning and development opportunities; and free toilet paper.
Why Join Us
As a certified B Corp, we work to make a difference every day while maintaining the highest standards of social and environmental impact. We are committed to rewarding the impact we create.
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📌 Finance Bi & Data Engineer - 12 Month Ftc (Melbourne)
🏢 Who Gives A Crap
📍 Melbourne